Triple

T10290247
Position Surface form Disambiguated ID Type / Status
Subject Jimmie Foxx E241343 entity
Predicate fullName P16 FINISHED
Object James Emory Foxx E243824 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: James Emory Foxx | Statement: [Jimmie Foxx, fullName, James Emory Foxx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Emory Foxx
Context triple: [Jimmie Foxx, fullName, James Emory Foxx]
  • A. James Emory Foxx chosen
    James Emory Foxx was a legendary American Major League Baseball slugger, primarily for the Philadelphia Athletics and Boston Red Sox, renowned for his prodigious power hitting and three MVP awards.
  • B. David Fox
    David Fox is a game designer and programmer best known for his work at Lucasfilm Games (later LucasArts), including co-creating the influential adventure game Maniac Mansion.
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Jeffrey Jones
    Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
  • E. Edward Fox
    Edward Fox is an English actor renowned for his roles in films such as "The Day of the Jackal" and "A Bridge Too Far."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2d192288190a64c27a4f26b71fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f85dcbac8190a2ac66354010e328 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.